Colorado Patent of the Month – February 2024
Scythe Robotics, Inc., the innovative force behind groundbreaking inventions such as the autonomous commercial mower, introduces a cutting-edge device that revolutionizes vegetative health mapping. This newly patented invention encompasses a device equipped with advanced sensors, machine learning algorithms, and a sophisticated control system.
The device, as claimed in the patent, operates by receiving coordinates defining a bounded region of interest and determining an energy-efficient trajectory to sweep the area. Utilizing sensor data, including near-field radar and other health sensors, the device assesses information about vegetation, such as moisture content, soil density, and even the presence of pests. The device’s control system then accurately locates its position and orchestrates its movement along the trajectory.
One of the key features of Scythe Robotics’ invention is its adaptability. The device can be coupled to various platforms, from ground vehicles to handles for manual operation. This flexibility allows it to seamlessly integrate into diverse environments, making it an invaluable tool for agriculture, landscaping, and environmental monitoring.
The device’s capabilities extend beyond mapping; it actively contributes to vegetative health management. By providing sensor data to a machine learning model, the device can receive indications of vegetative health, associating them with a three-dimensional map of the region. This dynamic mapping system allows for continuous monitoring and precise adjustments based on real-time data.
Scythe Robotics’ invention doesn’t just identify vegetative health; it proposes solutions. The patent outlines a method for detecting degradation in vegetative health, determining treatment options, and applying them autonomously. This includes the targeted application of herbicides, pesticides, fertilizers, or seeds based on the specific needs of each area.
The device can alert users to potential issues by transmitting signals and displaying detailed maps on user devices. The interactive interface enables users to visualize vegetative health indicators and take informed actions, creating a collaborative approach to vegetation management.
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